Department: Electronics & Communication Engineering

• Project Grants Received
  Title: Realization of Quadrupled Robot for Interplanetary Mission and Logistics Operations
  Role: Principal Investigator
  Type of funding: CERD KTU Funding (Student Project)
  Duration: One year (June 2024-June 2025)
  Amount: Rs.27,500
• Faculty Development Programme Organized
  Title: 5G and beyond: Research directions and opportunities
  Role: Co-coordinator
  Type of funding: AICTE ATAL programme
  Program dates: 2nd December -7 th December 2024

Publications

• Vineetha Mathai, P.Indumathi, “Prediction of Spectral Vacancy using Time Series Forecasting Method for Cognitive Radio Applications”, Intelligent Automation & Soft Computing, 2022,vol.33, no. 3, pp. 1729–1746, ISSN-1079-8587, SCIE. IF:3.4.
•  Vineetha Mathai, P.Indumathi, “Reinforcement learning based handoff mechanism in cooperative cognitive radio networks”, Dynamic Systems and Applications, vol.30, no 11, pp. 1719–1732, 2021, ISSN- 1056-2176. IF:0.6.
• Vineetha Mathai, Santhiya Lakshmi K, P.Indumathi, “Performance Evaluation of Interference Cancellation Methods in Cognitive Radio for Aeronautical Communication Systems”, International Journal of Scientific Research & Engineering Trends, volume7, issue 4, 2021, ISSN-2395-566X.
• Vineetha Mathai, P.Indumathi, R.Radhika,” Performance Evaluation of Relay Selection Methods in Cooperative Networks using Diversity Techniques”, International Journal of Management, Technology and Engineering vol. IX, issue V, May 2019. IF: 6.3.
• Vineetha Mathai, P. Indumathi, R J Abhinaya, “Performance Analysis of cluster based Cooperative spectrum sensing in Cognitive Radio Networks using Genetic Algorithm, International Journal of Science and Innovative Engineering & Technology, May 2018.
• Vineetha Mathai “Analysis of capacity for multiuser MIMO downlink systems”, December 2013, Elixir International Journal of Electronics Engineering, pp. 20056-20059, IF:6.07.
• Vineetha Mathai, K. Martin Sagayam, “Comparison and Analysis of Channel Estimation Algorithms in OFDM systems” March 2013, International Journal of Scientific and Technology Research vol. no.2, pp.76-80, IF:3.023.
• Vineetha Mathai, P.Indumathi, A.SathiaraniChitra ,” Performance Evaluation of Secured Co-operative Networks using Diversity Combining Techniques”, presented in IEEE international Conference on Innovations in Communication, Computing and Instrumentation held on March 2019, Chennai.
• Vineetha Mathai, S. Anusankari, P.Indumathi, “A Novel QoS guaranteed Spectrum Sharing Method in Cognitive Radio Network”, presented in virtual conference on IOT and Intelligent Apps 2020 organized by Institute for Engineering Research and Publication on 4th December 2020.
• Vineetha Mathai, Santhiya Lakshmi K, P.Indumathi, “Performance Evaluation of Interference Cancellation Methods in Cognitive Radio for Aeronautical Communication Systems”, presented in virtual conference on IOT and Intelligent Apps 2020 organized by Institute for Engineering Research and Publication on 4th December 2020.
• Vineetha Mathai, P.Indumathi, R.Radhika,”Queuing based Channel Selection Strategy in Cognitive RadioNetworks”, International Conference on Cognitive Computing, Communication & Informatics Systems, held on 13-14 Dec,2018, Chennai.
• R.J Abhinaya, Vineetha Mathai, P. Indumathi, ”Channel Gain Estimation for spectrum sharing in cognitive radio networks using Relaying Techniques”, in International conference on computing communication and drastic innovations in Energy thrive held on 28th Feb 2018 Chennai.
• M. Logeswari, Vineetha Mathai, “Multiuser Channel Allocation in Cognitive Radio Networks”, March 2016, 3rd International Conference on Green technologies in power generation, communication and instrumentation, Chennai.
• S. Poornima, Vineetha Mathai, “Throughput Analysis of MIMO – OFDM System Based On Space Time   Coding”,   March   2015,   International   Conference   on   Electrical,   Electronics   and   Computer Engineering, Namakkal.
• Archana Kamal, Vineetha Mathai, “A Novel Cell Selection Method for LTE Hetnet”, April 2014, 3rd IEEE International Conference on Communication and Signal Processing, Chennai.
• Vineetha Mathai, K. Martin Sagayam “Spatial Multiplexing for Multi-User MIMO Downlink Systems” April 2013, Second National conference on Emerging Trends in Computer, Communication and Informatics, Coimbatore.
• James, Benjamin, John, Joseph, Vineetha Mathai, Sakuntala S. Pillai, “Channel Estimation for OFDM systems”, July 2011, IEEE International Conference on Signal processing, Communication, Computing and Networking technologies, Kanyakumari.

• Delivered a lecture on Channel Modelling and Characterization organized by Anna University Regional Centre Coimbatore on 24-Dec-2013.
• Delivered a lecture on Advance Wireless Communication organized by Anna University Regional Centre Coimbatore on 17-Oct-2014.
• Delivered a lecture on Radio Frequency and Microwave Engineering organized by St. Joseph College of Engineering on 02-August-2017.
• Delivered a lecture on Digital Communication organized by Loyola Institute of Technology on 11-Sep-2018
• Delivered a lecture on Transmission Line and Waveguides organized by DMI College of Engineering on 30-Aug-2018

2. Second position for M.Tech examination 2017

• Anjoe Mohan Thekkekara, Gokul Krishna R, Jovina Rose,Sruthy Jose, Dr. Vineetha Mathai and H Aravind Sarma, ” Draw-bot: Engaging Young Minds Through Interactive Geometry with Educational Robotics ” International Journal of Engineering Research and Technology, Volume 15, Issue 8 August 2026, ISSN (Online) : 2278-0181
•  Allen P Mathew, Anzil N R, Bibin Biju,  Deepak Thomas, H Aravind Sarma, ” TRANSIT GUARD – An Intelligent Bus Capacity Management System”, International Journal of Engineering Research and Technology, Volume 15, Issue 8 August 2026, ISSN (Online) : 2278-0181
• Reshma RS, Ammu CS , H Aravind Sarma and Dr Sreedevi P, “Simulation of Fuel Level Monitoring via CAN Bus in Intelligent Transport Systems”, 2nd National Conference on Advanced trends in Electronics and Communication organized by ISTE-DMCE Chapter on 30th March 2026, ISBN- 978-93-5780-986-3.
• Govind R, Juby J Pappan,Sarang S Pillai,Vishnu Vijay Kumar and H Aravind Sarma, “StrideMap – Real Time Gait Analysis”, 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), Oct 30-31 2025, DOI: 10.1109/ICRTEECT67512.2025.11448950.
• H Aravind Sarma, Sherry Varghese George, “Channel Estimation in V2V Communication”,  International Conference on  Emerging Technologies for Intelligent Systems (ETIS), Feb 7-9 2025,  DOI: 10.1109/ETIS64005.2025.10961228
• H Aravind Sarma, Jijo Jose,” Real Time Fall Detection Model with Action Recognition”, Global Conference on Information Technologies and Communications (GCITC), December 1, 2023.
• H Aravind Sarma, Jijo Jose, “Deep Learning Based Real Time Fall Detection Model”, 3^rd International Conference on Emerging Techniques in Computational Intelligence, September 21 2023, ISBN:979-8-3503-0061-1, DOI: 10.1109/ICETCI58599.2023.10331387.
• Aditya Raj, Abhishek Anil, H Aravind Sarma, R Naveen Chandran, Deepa P. L., BrainNET: A Deep Learning Network for Brain Tumor Detection and Classification” Advances in Communication Systems and Networks, Lecture notes in Electrical Engineering Vol. 656, pp. 577-589, June 2020.
• Aditya Raj, Abhishek Anil, H Aravind Sarma, R Naveen Chandran, Deepa P. L., “Brain Tumor detection from brain MRI using Deep Learning”, International Conference of Recent Engineering Trends and Technology Journal of Engineering and Advanced Technology, December 2019.

• Qualified UGC NET for Assistant Professor on June 2025
• Qualified UGC NET for eligiblity of Ph. D – June 2024 and December 2024.
• First Rank for B.tech ECE at MBT[ 2015- 2019]
• First Rank for M.tech TCE [ 2021-2023]

• Pursuing research focused on the application of deep learning techniques to medical image analysis, with the goal of developing intelligent systems for early disease detection and clinical decision  support.

CONSULTANCY:

• Delivered FDPs , Workshops & Internship programs on AI and Python at Engineering colleges under industry-academic collaboration with Liz Intelligent Solutions Pvt.  Ltd.

PUBLICATIONS:

• Warrier, M.M., Resmi, R. and Abraham, L., 2025, February. “ParaMedNetX: A Deep Learning Framework for Pneumonia Classification Using Chest X-Rays”. In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL) (pp. 1224-1229). IEEE.
•  Warrier, M.M. and Abraham, L., 2023, February. “A review on early diagnosis of lung cancer from CT images using deep learning”. In Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022 (pp. 653-670). Singapore: Springer Nature Singapore.
• Warrier, M.M., Abraham, L. and Resmi, R., 2023, July.” An Optimal Deep Ensemble Model for the Classification of Pneumonia from Chest X-Rays”. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
• Warrier, Maya M., and Ajay Kumar. “An Energy Efficient Approach for Routing in Wireless Sensor Networks.” Elsevier, Procedia Technology 25 (2016): 520-527.
• Warrier, Maya M., and Ajay Kumar. “Energy efficient routing in Wireless Sensor Networks: A survey”. Wireless Communications, Signal Processing and Networking (WiSPNET), International Conference on. IEEE, 2016 (pp. 1987-1992).

•  Contributed as a resource person for the 5-Day workshop on Artificial Intelligence, organized by Liz Intelligent Solutions Pvt. Ltd. in collaboration with Sree Buddha College of Engineering, Pattoor – July 2025.
• Contribution as a resource person for the 7-Day Hands-on Python Internship organized by Liz Intelligent Solutions Pvt. Ltd in collaboration with St. Thomas Institute for Science and Technology, Trivandrum – June 2025 .
• Contributed as a resource person for the Five-day Hands-on Workshop on “Applications of Artificial Intelligence and Machine Learning” organized by the Dept. of ECE, STIST and ISTE at St. Thomas Institute for Science and Technology, Trivandrum – August 2024.
• Contributed as a resource person for the Three-day Hands-on Workshop on “Machine Learning and Deep Learning using Python” organized by the Dept. of ECE, STIST and KSCSTE at St. Thomas Institute for Science and Technology, Trivandrum – August 2023 .

• Secured KSCSTE Research Fellowship -2018 in Engineering Sciences.
• Fourth rank in M.G University for M.Tech .

• Alex V, Rammohan A, “Performance Optimization of Synchronous Reluctance Motor using Adaptive MTPA Curve Fitting with Anti-Windup Current Control”, RINENG_106658, Results in Engineering, 5 Aug 2025, 10.1016/j.rineng.2025.106658.

Book Chapter:

• Alex V, A. Rammohan, “ Drive control strategies for PMSM drives in electric vehicles”, Green Machine Learning and Big Data for Smart Grids Practices and Applications Advances in Intelligent Energy Systems 2025, Pages 185-197, https://doi.org/10.1016/B978-0-443-28951-4.00014-9

• Aswathy Madhu and Suresh K., “RQNet: Residual Quaternion CNN for Performance Enhancement in Low Complexity Device Robust Acoustic Scene Classification”, in IEEE Transactions on Multimedia (2023),  https://doi.org/10.1109/TMM.2023.3241553. (SCI).
• Aswathy Madhu and Suresh K., “A Convolutional Model with Multi-Scale Feature Fusion, Duo Pooling, and Fusion Loss for Acoustic Scene Classification”, in Proc. 9TH IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE 23), Thiruvananthapuram, India, Nov 25 – 26, 2023.
• Aswathy Madhu and Suresh K., “EnvGAN: A GAN-based augmentation to improve Environmental Sound Classification”, Artificial Intelligence Review (2022), Springer. https://doi.org/10.1007/s10462-022-10153-0 (SCIE).
• Aswathy Madhu and Suresh K., “AtResNet: Residual Atrous CNN with multi-scale feature representation for low complexity Acoustic Scene Classification”, Circuits, Systems, and Signal Processing (2022), Springer. https://doi.org/10.1007/s00034-022-02107-2 (SCIE).
• Aswathy Madhu and Suresh K., “EHTNet: Twin-pooled CNN with Empirical Mode Decomposition and Hilbert Spectrum for Acoustic Scene Classification”, in Proc. 14th IEEE International Conference on Signal Processing and Communications (SPCOM-22), Bengaluru, India, Jul 11 – 15, 2022.
• Aswathy Madhu and Suresh K., “SiamNet: Siamese CNN based Similarity Model for Adversarially Generated Environmental Sounds”, in Proc. 31st IEEE International Workshop on Machine Learning for Signal Processing (MLSP-21), Gold Coast, Australia, Sep 25 – 28, 2021.
• Madhu, A. and Suresh, K. (2019) Improved Deep CNN with Reduced Parameters for Automatic Identification of Environmental Sounds. International Journal of Engineering Research & Technology (IJERT), 7, 1-3. 
• Aswathy Madhu and Suresh K., “Data augmentation using Generative Adversarial Network for Environmental Sound Classification”, in Proc. 27th European Signal Processing Conference (EUSIPCO-19), Spain, Sep 2 – 6, 2019, pp. 1–5.  
• Baby, Mina & Madhu, Aswathy & R P, Aneesh. (2017). Biomedical Image Integrity Check for Telemedicine Applications by Hash Embedding & Wavelet Compression. 178-185.10.1109/NETACT.2017.8076763. 
• Baby, Mina & Madhu, Aswathy. (2017). Steganography Based Biomedical Data Integrity Control with Lossless Compression. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET). 4. 51-59.
• Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “A Survey Paper on Time-Frequency Analysis of EEG signal”, Progress In Science & Engineering Research (PISER), Vol.02, Issue: 03/06 May- June; Bimonthly International Journal, pp  046 – 051, 2014.
• Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “Seizure Detection in Epileptic EEGs using Short Time Fractional Fourier Transform”, International Journal of Advances in Engineering and Emerging Technology (IJAEET), Vol. 2, Issue 1, pp 255 – 262, July 2013.
• Aswathy Madhu, Jayasree V.K., and Vinu Thomas, “Automatic Epileptic Seizure Detection in EEGs using Time-Frequency Analysis and Probabilistic Neural Network”, ICACC-2012, IEEE International Conference on Advances in Computing and Communication, Cochin, 9 – 11 August 2012. 

Reviewer of Conference Papers – ICCC 2025, ETIS 2025, WASPAA 2025, Reviewer of Journal Papers – Frontiers in Computer Science, International Journal of Data Science and Analytics, Multimedia Systems, npj Acoustics, Pattern Analysis and Applications, Signal Image and Video Processing

• Qualified for Junior Research Fellowship (UGC-NET-JRF, July 2016, Govt. of India).
•  Secured 2nd rank in CUSAT for MTech in Signal Processing, 2012.

• D. K. Mangalakadan and R. Divya, “Green Backhauling Solutions for 5G HetNets,” Int. J. Future Revolut. Comput. Sci. Commun. Eng., vol. 4, no. 5, May 2018.
• D. Mangalakadan and R. Divya, “Survey on Green Communications in 5G Networks,” in Proc. KETCON, Kodakara, India, Feb. 2018.
• A. Kurian and R. Divya, “A Survey on Energy Efficient Routing Protocols in Wireless Body Area Networks (WBAN),” in Proc. IEEE Int. Conf. Innovations in Information, Embedded and Communication Systems (ICIIECS), Mar. 2017.
• R. Divya and Dr. K. Suresh, “Computed Tomographic Iterative Reconstruction using Area-weighted Projection Approach,” in Proc. National Conference on Technological Trends (NCTT), Trivandrum, India, 2013.

• Programme co-ordinator of the National Science Day celebrations 2018 conducted at Adi Shankara Institute of Engineering and Technology, and received funding from KSCSTE.

• International Association of Engineers, Membership No: 192913.

• Organising committee member and resource person for “Abhyudaya 2017”- an initiative of the Dept of ECE of ASIET for nurturing the Plus Two students of various schools around Cochin.

• UGC NET qualified for Assistant Professor in Electronic Science
• Multiple times GATE qualified latest score 593
• Google AI Professional Certification
• Best paper award for the paper presented in the National Conference on Technological Trends 2013 at CET in the Signal Processing Stream of ECE